Order-recursive RLS Laguerre adaptive filtering

RLS-Laguerre lattice adaptive filtering: error feedback and array-based algorithms

This paper develops lattice structures for RLS Laguerre adaptive filtering including error-feedback and array-based lattice versions. All structures are efficient in that their computational cost is proportional to the number of taps. Although these structures are theoretically equivalent, their performance can differ under practical considerations, such as finite-precision effects and regulari...

Exact RLS Laguerre-lattice adaptive filtering

RLS-Laguerre lattice adaptive filtering: error-feedback, normalized, and array-based algorithms

This paper develops several lattice structures for RLS Laguerre adaptive filtering including a posteriori and a priori based lattice filters with error-feedback, array-based lattice filters, and normalized lattice filters. All structures are efficient in that their computational cost is proportional to the number of taps, albeit some structures require more multiplications or divisions than oth...

Extended fast fixed order RLS adaptive filters

The existing derivations of conventional fast RLS adaptive filters are intrinsically dependent on the shift structure in the input regression vectors. This structure arises when a tapped-delay line (FIR) filter is used as a modeling filter. In this paper, we show, unlike what original derivations may suggest, that fast fixed-order RLS adaptive algorithms are not limited to FIR filter structures...

A Filtered-X RLS Algorithm for Nonlinear Active Noise Control

In this paper, a filtered-x recursive least squares (FX-RLS) algorithm based on adaptive 3rd-order Volterra filtering is proposed for nonlinear active noise control (ANC) of systems with a nonlinear primary acoustic path. The simulation results show that the proposed approach yields faster convergence, compared with the conventional methods (e.g., FX-NLMS and FX-GSPAP), for the nonlinear ANC. K...